How to Use the U.S. Census Housing — Home Values, Rent & Real Estate Data MCP in OpenAI Agents SDK

Q: How do I check housing values with U.S. Census Housing — Home Values, Rent & Real Estate Data using OpenAI Agents SDK?

You can use gethousingbycounty to pull the median home value and rent data for every county within a specified state. The agent returns an array of results you can process immediately.

Q: What variables does U.S. Census Housing — Home Values, Rent & Real Estate Data support with OpenAI Agents SDK?

The querycensus tool supports virtually any variable available through the API, including specific population metrics and housing data paths defined in the Census documentation.

Q: Can I get statewide vacancy rates using U.S. Census Housing — Home Values, Rent & Real Estate Data with OpenAI Agents SDK?

Yes. The gethousingbystate tool pulls renter-occupied and vacant units for all states, giving you a quick look at the overall real estate market health.

Q: Does U.S. Census Housing — Home Values, Rent & Real Estate Data support filtering with OpenAI Agents SDK?

The querycensus tool allows you to pass an optional in-clause filter, meaning you can restrict the data retrieval based on specific geographical or demographic criteria.

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Connect U.S. Census Housing — Home Values, Rent & Real Estate Data MCP to OpenAI Agents SDK

Create your Vinkius account to connect U.S. Census Housing — Home Values, Rent & Real Estate Data to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup U.S. Census Housing — Home Values, Rent & Real Estate Data with OpenAI Agents SDK

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Analyze County Market Data with the MCP Server

Use `get_county_profile` to pull a complete profile for any specific county. You get key data points like population metrics alongside housing stats in one go. It's perfect for developers who need to cross-reference local demographics against median home values or vacancy rates before triggering an agent handoff.

Build State-Level Market Intelligence with the MCP Server

The `get_state_profile` tool delivers a full socioeconomic snapshot for any state. This includes population data, income levels, and comprehensive housing metrics. When you call this, your agent gets everything it needs—from ownership rates to total renter-occupied units—without needing five separate API calls.

Run Custom Census Queries with the MCP Server

Don't trust pre-packaged tools alone. `query_census` lets your agent specify any ACS variable, geography, or year you want to check against the U.S. Census Housing data. You define the variables (like B01003_001E) and the location, giving your production agent granular control over the input data.

Setup guide

Set up U.S. Census Housing — Home Values, Rent & Real Estate Data MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all U.S. Census Housing — Home Values, Rent & Real Estate Data tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives U.S. Census Housing — Home Values, Rent & Real Estate Data tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate U.S. Census Housing — Home Values, Rent & Real Estate Data tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="U.S. Census Housing — Home Values, Rent & Real Estate Data Agent",
            instructions="You have access to U.S. Census Housing — Home Values, Rent & Real Estate Data tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by U.S. Census Bureau. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about U.S. Census Housing — Home Values, Rent & Real Estate Data MCP in OpenAI Agents SDK

You can use `get_housing_by_county` to pull the median home value and rent data for every county within a specified state. The agent returns an array of results you can process immediately.

The `query_census` tool supports virtually any variable available through the API, including specific population metrics and housing data paths defined in the Census documentation.

Yes. The `get_housing_by_state` tool pulls renter-occupied and vacant units for all states, giving you a quick look at the overall real estate market health.

The `query_census` tool allows you to pass an optional in-clause filter, meaning you can restrict the data retrieval based on specific geographical or demographic criteria.

This server touches residential real estate data, specifically median home values, gross rent figures, and ownership vs. renting rates at the state and county level.

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